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Regional Ecological Risk Assessment of Wetlands in the Sanjiang Plain with Respect to Human Disturbance

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  • Hui Wang

    (College of Tourism and Geography, Jiujiang University, Jiujiang 332005, China
    Key Laboratory of Wetland Ecology and Environment, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102, China)

  • Changchun Song

    (Key Laboratory of Wetland Ecology and Environment, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102, China)

  • Kaishan Song

    (Key Laboratory of Wetland Ecology and Environment, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102, China)

Abstract

Characterization of the intensity of regional human disturbances on wetlands is an important scientific issue. In this study, the pole-axis system (involving multi-level central places and roads) was recognized as a proxy of direct risk to wetlands stemming from human activities at the regional or watershed scale. In this respect, the pole-axis system and central place theory were adopted to analyze the spatial agglomeration characteristics of regional human activities. Soil erosion and non-point source (NPS) pollution, indicating the indirect effect of human activities on wetlands, were also considered. Based on these human disturbance proxies, which are considered regional risk sources to wetlands, incorporated with another two indicators of regional environment, i.e., vulnerability and ecological capital indexes, the regional ecological risk assessment (RERA) framework of wetlands was finally established. Using this wetland RERA framework, the spatial heterogeneity of risk grades within the Naoli River Basin, a typical concentrated wetland region in the Sanjiang Plain, was analyzed. The results showed that (1) high- and very high-risk source intensity areas displayed a ring-shape distribution pattern, which reflected the influence of the regional pole-axis system; (2) owing to their high ecological capital value per unit area and vulnerability level, the wetlands had the highest risk grade, as did central places (i.e., those areas where county seats and administration bureaus of farms were located). In terms of proportion, the low-, medium-, high-, and very high-risk areas accounted for 72.0%, 16.8%, 10.1%, and 1.1% of the study area, respectively. The identification and classification of risk sources to wetlands that are related to human activity at the watershed scale could provide clear perspectives in order to reduce severe risk sources to these areas, especially those Ramsor Convention-appointed sites of international importance. Moreover, the assessment framework used in this paper will provide a helpful reference for related research in the future. Finally, the new management guidelines proposed in this paper will be beneficial for lowering the ecological risk level of wetlands at the watershed or regional scale for the Sanjiang Plain or other wetland-concentrated regions.

Suggested Citation

  • Hui Wang & Changchun Song & Kaishan Song, 2020. "Regional Ecological Risk Assessment of Wetlands in the Sanjiang Plain with Respect to Human Disturbance," Sustainability, MDPI, vol. 12(5), pages 1-19, March.
  • Handle: RePEc:gam:jsusta:v:12:y:2020:i:5:p:1974-:d:328625
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    References listed on IDEAS

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    1. Xinyi Yang & Lina Tang & Yuqiu Jia & Jiantao Liu, 2018. "Ecological Risk Assessment of the Southern Fujian Golden Triangle in China Based on Regional Transportation Development," Sustainability, MDPI, vol. 10(6), pages 1-12, June.
    2. Jian Peng & Minli Zong & Yi'na Hu & Yanxu Liu & Jiansheng Wu, 2015. "Assessing Landscape Ecological Risk in a Mining City: A Case Study in Liaoyuan City, China," Sustainability, MDPI, vol. 7(7), pages 1-23, June.
    3. Peng Tian & Jialin Li & Hongbo Gong & Ruiliang Pu & Luodan Cao & Shuyao Shao & Zuoqi Shi & Xiuli Feng & Lijia Wang & Riuqing Liu, 2019. "Research on Land Use Changes and Ecological Risk Assessment in Yongjiang River Basin in Zhejiang Province, China," Sustainability, MDPI, vol. 11(10), pages 1-20, May.
    4. Gordon Mulligan & Mark Partridge & John Carruthers, 2012. "Central place theory and its reemergence in regional science," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 48(2), pages 405-431, April.
    5. Yan Lu & Fen Qin & Zhongbing Chang & Shuming Bao, 2017. "Regional Ecological Risk Assessment in the Huai River Watershed during 2010–2015," Sustainability, MDPI, vol. 9(12), pages 1-14, December.
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